The First Protocol to Unlock The Value of Real-World Data

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Paired Protocol

PairedWorld is creating a new asset class in the data economy, unlocking the value of real-world interaction data. As the underlying infrastructure, it is poised to capture significant market share in the growing $1 trillion personal data economy and beyond.

The Current State of Data

Industries face a major gap in capturing meaningful data. While users generate vast amounts of data in their daily lives, much of it remains fragmented, limited to online interactions and locked behind regulatory legislation — making it unreliable and inaccessible for trustworthy, actionable insights.

Incomplete Data Picture

Existing datasets are limited to digital behaviour, while real-world interactions—when captured at all—rely on manual, error-prone processes that lack security, privacy, and reliability, missing out on richer, more actionable insights.

No Standardised Framework for RWIs

There’s no secure, privacy-preserving method to authenticate, record, and leverage Real World Interactions (RWIs), leaving industries cut off from invaluable real-world data that could transform their insights and strategies.

Barriers to Privacy and Trust

Traditional systems frequently expose user data, eroding trust and making it  impossible to leverage personal interactions securely without sacrificing privacy. Accessing this data to derive insights for your business involves jumping through regulatory hoops.

How Does it work?

The Universal Standard for Real World Interactions

Versatile

Privacy-Preserving Identity & Interaction Validation

Using zk-SNARKs, and Validium technology, PairedWorld ensures each RWI is authenticated with full privacy, allowing secure, scalable interactions without reliance on centralised systems.

Trusted Human-to-Human & Human-to-Machine Interactions

Paired facilitates secure, verifiable interactions between individuals and machines, opening new possibilities in healthcare, government, loT, and beyond, while ensuring interoperability across industries and business use-cases.

Decentralised AI for Intelligent Data Insights

A decentralised AI layer that allows industries to derive real-time meaningful insights without compromising data integrity, transforming how organisations understand and engage with verified real-world data.
The Team
Raluca Cherciu
Co-Founder & President of the Board
Aleks Kay
Co-Founder & Board Member
Prof. Dr. Gerhard Schwabe
Professor of Information Management, Co-Founder of the University of Zürich Blockchain Center
Ralf Glabischnig
Managing Partner Inacta Ventures, Co-Founder Crypto Oasis
Omar Peracha
VP of Engineering
Advisors
Prof. Dr. Claudio J. Tessone
Professor of Blockchain & Distributed Ledger Technologies | UZH Blockchain Center, Chairman
Paul Taylor
Venture Partner (Web3) at BlackRock, Advisor & Investor
Prof. Dr. Paul J. Zak
Professor of Economic Sciences, Psychology & Management Director at Claremont Graduate University
Prof. Dr. Julianne Holt-Lunstad
Professor of Psychology and Neuroscience at Brigham Young University, Director of Social Neuroscience Lab
Dr. Andreas Glarner
Legal Partner at MME, Attorney at Law, LL.M, Advisor to companies in FinTech, Web3, DLT, DeFi, NFT & Gaming
Wes Levitt, CFA
Co-Chief Investment Officer of Alpha Sigma Capital and Head of Strategy at Theta Labs
Gustavo Mana, PhD
Managing Partner, Brandville Ventures
Ambassadors
Shira Lazar
Emmy-Nominated, Leading Voice Around Digital Culture and Emerging Trends
Rembrandt Flores
Founder of 8Commas,
Partner at Flowing Ventures
Investors & Partners